SUMMARY
Traditional reactive detect and respond methodologies to address cybersecurity needs are quickly becoming ineffective. Bad actors in growing numbers are weaponizing generative AI applications to dramatically improve the sophistication of cyberattacks for illicit ransomware gains. Furthermore, the use of emerging agentic AI frameworks by criminals to scale the speed and volume of threats is also troubling. Modern AI tools are fortifying cyber defense, but they represent a double-edged sword — also unlocking the ability for attackers to develop unique, single-use malware that renders reactive security solutions obsolete.
To address these challenges, a preemptive cybersecurity architecture to harden security is required. A design approach rooted in the Domain Name System is ideal. DNS serves as the underlying foundation of internet traffic and provides critical and deep visibility into emerging threats via IP address translation.
Based on Moor Insights & Strategy analysis, Infoblox appears well-positioned as a leader in protective DNS to provide a preemptive architecture that identifies threats and cyber-attacks before they occur. The company’s approach is mature, built on investments in DNS-based security over three decades to provide a complete platform that addresses what is required for defense in the modern AI era.
